AI portrait
This portrait was algorithmically built from this dog's genome: their genotype at 8 morphology loci (coat length, curl, color, ear set, body size, head shape, skull, furnishings) plus their position within the 14,478-dog atlas. The same dog always reproduces the same portrait. A different dog with different alleles gets a different portrait.
FJ67_FJ67
FJ67_FJ67 is labelled Village Dog Fiji Kadavu in the Shannon cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.
See FJ67_FJ67 in the atlasFJ67_FJ67 sits at the edge of the Village Dog Fiji Kadavu cluster but still well within it.
- Predicted medium by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Standard leg length. No chondrodysplasia retrogene variant.
- Smooth coat. No wire-furnishings variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to FJ67_FJ67's. Click any of them to keep exploring.
FJ67_FJ67's genome decomposes mostly into Golden Retriever, with additional weight on Labrador Retriever.
Breed similarity from non-negative least squares against 91 breed centroids in PCA-256 space, corrected for atlas sample-size imbalance. Without correction, Goldens (22% of the atlas) leak into every dog's raw NNLS breakdown; with it, the bias falls out. Raw fractions stay in the dataset for re-derivation. Methodology.
- Golden Retriever 57%
- Labrador Retriever 43%
From the CanVAS (Shannon cohort) . Breed-page reference: Village Dog Fiji Kadavu.
Full genotype detail click to expand
The actual allele call at each locus's representative SNP for this dog. Each gene name links to its page where you can see the per-breed frequency table and the direction of effect.
Technical details click to expand
The numbers behind the placement. Useful for researchers reproducing the math or debugging an unexpected position; not interesting to most readers.
y 1.330
z 2.239
The 3 PCs on which FJ67_FJ67 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr5:79,585,745 loading 0.0313
- chr14:5,105,246 loading 0.0300
- chr24:4,166,647 loading -0.0289
- chr25:25,192,682 loading 0.0383
- chr24:37,936,747 loading 0.0329
- chr25:20,642,955 loading -0.0315
- chr17:4,173,842 loading 0.0436
- chr17:4,233,511 loading 0.0413
- chr17:4,128,965 loading 0.0412